Matches in SemOpenAlex for { <https://semopenalex.org/work/W2103175056> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2103175056 abstract "Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to grow larger and the hypothesis that a database can be loaded into main-memory for sequential pattern mining purpose is no longer valid. Furthermore, the new model of data as a continuous and potentially infinite flow, known as data stream model, call for a pre-processing step to ease the mining operations. Since the database size is the most influential factor for mining algorithms we examine the use of sampling over static databases to get approximate mining results with an upper bound on the error rate. Moreover, we extend these sampling analysis and present an algorithm based on reservoir sampling to cope with sequential pattern mining over data streams. We demonstrate with empirical results that our sampling methods are efficient and that sequence mining remains accurate over static databases and data streams." @default.
- W2103175056 created "2016-06-24" @default.
- W2103175056 creator A5013533653 @default.
- W2103175056 creator A5066869710 @default.
- W2103175056 date "2007-10-01" @default.
- W2103175056 modified "2023-10-17" @default.
- W2103175056 title "Sampling for Sequential Pattern Mining: From Static Databases to Data Streams" @default.
- W2103175056 cites W139562302 @default.
- W2103175056 cites W1587322954 @default.
- W2103175056 cites W1608194207 @default.
- W2103175056 cites W2068383400 @default.
- W2103175056 cites W2103175056 @default.
- W2103175056 cites W2119885577 @default.
- W2103175056 cites W2158454296 @default.
- W2103175056 cites W2168196587 @default.
- W2103175056 cites W4233413206 @default.
- W2103175056 doi "https://doi.org/10.1109/icdm.2007.82" @default.
- W2103175056 hasPublicationYear "2007" @default.
- W2103175056 type Work @default.
- W2103175056 sameAs 2103175056 @default.
- W2103175056 citedByCount "22" @default.
- W2103175056 countsByYear W21031750562014 @default.
- W2103175056 countsByYear W21031750562018 @default.
- W2103175056 countsByYear W21031750562019 @default.
- W2103175056 countsByYear W21031750562021 @default.
- W2103175056 countsByYear W21031750562022 @default.
- W2103175056 crossrefType "proceedings-article" @default.
- W2103175056 hasAuthorship W2103175056A5013533653 @default.
- W2103175056 hasAuthorship W2103175056A5066869710 @default.
- W2103175056 hasBestOaLocation W21031750562 @default.
- W2103175056 hasConcept C106131492 @default.
- W2103175056 hasConcept C120567893 @default.
- W2103175056 hasConcept C124101348 @default.
- W2103175056 hasConcept C134306372 @default.
- W2103175056 hasConcept C140779682 @default.
- W2103175056 hasConcept C149490388 @default.
- W2103175056 hasConcept C193524817 @default.
- W2103175056 hasConcept C202444582 @default.
- W2103175056 hasConcept C2778112365 @default.
- W2103175056 hasConcept C2778484313 @default.
- W2103175056 hasConcept C31972630 @default.
- W2103175056 hasConcept C33923547 @default.
- W2103175056 hasConcept C36503486 @default.
- W2103175056 hasConcept C41008148 @default.
- W2103175056 hasConcept C54355233 @default.
- W2103175056 hasConcept C76155785 @default.
- W2103175056 hasConcept C77088390 @default.
- W2103175056 hasConcept C81440476 @default.
- W2103175056 hasConcept C86803240 @default.
- W2103175056 hasConcept C87146676 @default.
- W2103175056 hasConcept C89198739 @default.
- W2103175056 hasConcept C9652623 @default.
- W2103175056 hasConceptScore W2103175056C106131492 @default.
- W2103175056 hasConceptScore W2103175056C120567893 @default.
- W2103175056 hasConceptScore W2103175056C124101348 @default.
- W2103175056 hasConceptScore W2103175056C134306372 @default.
- W2103175056 hasConceptScore W2103175056C140779682 @default.
- W2103175056 hasConceptScore W2103175056C149490388 @default.
- W2103175056 hasConceptScore W2103175056C193524817 @default.
- W2103175056 hasConceptScore W2103175056C202444582 @default.
- W2103175056 hasConceptScore W2103175056C2778112365 @default.
- W2103175056 hasConceptScore W2103175056C2778484313 @default.
- W2103175056 hasConceptScore W2103175056C31972630 @default.
- W2103175056 hasConceptScore W2103175056C33923547 @default.
- W2103175056 hasConceptScore W2103175056C36503486 @default.
- W2103175056 hasConceptScore W2103175056C41008148 @default.
- W2103175056 hasConceptScore W2103175056C54355233 @default.
- W2103175056 hasConceptScore W2103175056C76155785 @default.
- W2103175056 hasConceptScore W2103175056C77088390 @default.
- W2103175056 hasConceptScore W2103175056C81440476 @default.
- W2103175056 hasConceptScore W2103175056C86803240 @default.
- W2103175056 hasConceptScore W2103175056C87146676 @default.
- W2103175056 hasConceptScore W2103175056C89198739 @default.
- W2103175056 hasConceptScore W2103175056C9652623 @default.
- W2103175056 hasLocation W21031750561 @default.
- W2103175056 hasLocation W21031750562 @default.
- W2103175056 hasLocation W21031750563 @default.
- W2103175056 hasLocation W21031750564 @default.
- W2103175056 hasOpenAccess W2103175056 @default.
- W2103175056 hasPrimaryLocation W21031750561 @default.
- W2103175056 hasRelatedWork W171814657 @default.
- W2103175056 hasRelatedWork W2103175056 @default.
- W2103175056 hasRelatedWork W2114934675 @default.
- W2103175056 hasRelatedWork W2309449776 @default.
- W2103175056 hasRelatedWork W2353468268 @default.
- W2103175056 hasRelatedWork W2391115647 @default.
- W2103175056 hasRelatedWork W2511156501 @default.
- W2103175056 hasRelatedWork W2554925415 @default.
- W2103175056 hasRelatedWork W2567799180 @default.
- W2103175056 hasRelatedWork W2501547295 @default.
- W2103175056 isParatext "false" @default.
- W2103175056 isRetracted "false" @default.
- W2103175056 magId "2103175056" @default.
- W2103175056 workType "article" @default.